Built for continuous delivery
Use a collection of software products – or use one Agile Data Engine. Our ability to deliver top-notch data products is thanks to six key components, all driving resilient value in one SaaS platform.
Use a collection of software products – or use one Agile Data Engine. Our ability to deliver top-notch data products is thanks to six key components, all driving resilient value in one SaaS platform.
Metadata-based data entity and transformation design and custom SQL transformations and rules.
Configurable entity (table, view) types and templates for automating development and governance.
Searchable data model and data lineage visualizations for audit trail and impact analysis.
Flexible choice of data modeling approaches such as dimensional modeling and Inmon along with full Data Vault 2.0 automation, including fully automated creation and management of common Data Vault entities such as Hubs, Links, Satellites, Status satellites, multi-active satellites, Point-in-Time (PIT) tables and Transactional Link tables
Generation of SQL DDL and DML scripts to be deployed to different environments.
Multi-database support, for generating SQL DDL and DML for different cloud database platforms.
Automatic schema change implementation without stopping data workflows.
Generation of data workflows (directed acyclic graphs) based on model metadata.
Granular configuration of workflows based on entity level dependencies and schedules.
Dynamic load processing with concurrency control.
Monitoring and troubleshooting of dynamic data workflows (DAGs) and loads.
Customized metadata statistics reporting and visualization capabilities.
Data quality tests that can be executed as part of the workflow orchestration, and they can control the success of the workflows.
API connectivity to integrate ADE workflows with customer specific processes.
Integration of metadata to data catalogs or other similar tools.
Provides a revolutionary way for data teams to gain deeper visibility into their work and data investments
Enables data teams to continuously enhance their performance and way of working, and to deliver even greater business value to data users.
Provides business-value insights into data products, allowing business data users to maximize the value of their data assets.
We can't speak for our customers, but we can tell you our customer satisfaction rating exceeds 97%. Hear it from them:
DataOps and data in general are ever evolving topics. Head over to the blog to stay up-to-date
Transition to Agile Data Engine with Gen AI for enhanced DataOps efficiency and scalability. Learn how generative AI simplifies the migration process seamlessly.
See why Agile Data Engine uses trunk-based dev to improve data platform development with effective CI, fast version control, and better team collaboration.
Trunk-Based vs GitFlow for data projects: it impacts collaboration, integration, and workflow efficiency. Learn which works better for data warehouse dev..
Contact us
Are you just getting started on your data journey or you want to amplify it? We are happy to talk to you.
Stay in the loop with everything you need to know.